Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Dialogue-based generation of self-driving simulation scenarios using Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.17372.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:20:26.799544Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:23:41.972868Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation c53e8509-5467-4bc2-8840-5f68b2e8effb · inbound
From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving cites this paper.
From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving Dialogue-based generation of self-driving simulation scenarios using Large Language Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:20:26.799544Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8062d74f-e287-4d08-8aa4-9c59415c112f · inbound
AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework cites this paper.
AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework Dialogue-based generation of self-driving simulation scenarios using Large Language Models
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:23:42.073641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.